چکیده: (637 مشاهده)
Background: Dietary intake assessment is a critical component of the nutrition care process, essential for identifying nutritional deficiencies and formulating effective interventions. Accurate analysis requires access to a reliable food composition database that reflects cultural and regional dietary habits. In Iran, existing software solutions fall short in adequately representing traditional foods, highlighting the need for a localized database. The SAMAR software addresses this gap by enabling users to monitor nutrient intake and tailor dietary plans to better meet the nutritional needs of the Iranian population.
Methods: We conducted a comparative analysis of food intake data from 30 patients using the SAMAR system and the Nutritionist 4 (NUT4) system. After inputting the data into both software platforms, we compared the results. The normality of the data was assessed using the Shapiro-Wilk test, and Pearson or Spearman correlation coefficients were computed. To evaluate the relationship between the values derived from each system, we reported the linear regression model alongside the Bland-Altman diagram.
Results: The comparative analysis between the SAMAR software and NUT4 demonstrated a strong agreement in nutrient analysis results, indicating that SAMAR is suitable for nutritional assessments within Iranian contexts. SAMAR exhibited a direct correlation with NUT4 regarding energy and nutrient content. The linear regression models revealed significant relationships for the majority of the nutrients analyzed. The user-friendly interface of SAMAR, along with its compatibility with Iranian dietary patterns, renders it a valuable resource for nutritionists and researchers. Additionally, the software's capacity to incorporate local foods enhances its functionality, making it more effective than other software applications.
Conclusion: SAMAR uses the Iranian Food Database. The observed positive correlation between SAMAR and NUT4 in nutrient analysis underscores the reliability and user-friendliness of SAMAR for dietary intake assessment in Iran.
Methods: We conducted a comparative analysis of food intake data from 30 patients using the SAMAR system and the Nutritionist 4 (NUT4) system. After inputting the data into both software platforms, we compared the results. The normality of the data was assessed using the Shapiro-Wilk test, and Pearson or Spearman correlation coefficients were computed. To evaluate the relationship between the values derived from each system, we reported the linear regression model alongside the Bland-Altman diagram.
Results: The comparative analysis between the SAMAR software and NUT4 demonstrated a strong agreement in nutrient analysis results, indicating that SAMAR is suitable for nutritional assessments within Iranian contexts. SAMAR exhibited a direct correlation with NUT4 regarding energy and nutrient content. The linear regression models revealed significant relationships for the majority of the nutrients analyzed. The user-friendly interface of SAMAR, along with its compatibility with Iranian dietary patterns, renders it a valuable resource for nutritionists and researchers. Additionally, the software's capacity to incorporate local foods enhances its functionality, making it more effective than other software applications.
Conclusion: SAMAR uses the Iranian Food Database. The observed positive correlation between SAMAR and NUT4 in nutrient analysis underscores the reliability and user-friendliness of SAMAR for dietary intake assessment in Iran.
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